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small-mlm-tweet-target-tweet
muhtasham/small-mlm-tweet-target-tweet
small-mlm-tweet-target-tweet is a text classification model from muhtasham. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Dec 11, 2022
- Updated
- Dec 11, 2022
- SHA
- bba6974c
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Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
small-mlm-tweet-target-tweet
This model is a fine-tuned version of muhtasham/small-mlm-tweet on the tweet_eval dataset. It achieves the following results on the evaluation set:
- Loss: 1.9058
- Accuracy: 0.7513
- F1: 0.7479
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 200
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.5521 | 4.9 | 500 | 0.7835 | 0.7594 | 0.7568 |
| 0.0962 | 9.8 | 1000 | 1.2835 | 0.7540 | 0.7547 |
| 0.0249 | 14.71 | 1500 | 1.6337 | 0.7460 | 0.7438 |
| 0.014 | 19.61 | 2000 | 1.9058 | 0.7513 | 0.7479 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1
- Datasets 2.7.1
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Dec 11, 2022
- Updated
- Dec 11, 2022